Effective Distribution of Large Scale Situated Agent-based Simulations

Omar Rihawi 1 Yann Secq 1 Philippe Mathieu 1
1 SMAC - Systèmes Multi-Agents et Comportements
LIFL - Laboratoire d'Informatique Fondamentale de Lille
Abstract : Agent-based simulations have increasing needs in computational and memory resources when the the number of agents and interactions grows. In this paper, we are concerned with the simulation of large scale situated multi-agent systems (MAS). To be able to simulate several thousands or even a million of agents, it becomes necessary to distribute the load on a computer network. This distribution can be done in several ways and this paper presents two specific distributions: the first one is based on environment and the second one is based on agents. We illustrates the pros and cons of using both distribution types with two classical MAS applications: prey-predator and flocking behaviour models.
Type de document :
Communication dans un congrès
ICAART 2014 6th International Conference on Agents and Artificial Intelligence, Mar 2014, LOIRE, France. SCITEPRESS Digital Library, ICAART 2014 6th International Conference on Agents and Artificial Intelligence, 1, pp.312-319, 2014, ICAART 2014 6th International Conference on Agents and Artificial Intelligence. 〈http://www.icaart.org/?y=2014〉. 〈10.5220/0004756903120319〉
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Contributeur : Cristal Equipe Smac <>
Soumis le : jeudi 12 février 2015 - 10:58:38
Dernière modification le : vendredi 13 juillet 2018 - 18:00:05

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Omar Rihawi, Yann Secq, Philippe Mathieu. Effective Distribution of Large Scale Situated Agent-based Simulations. ICAART 2014 6th International Conference on Agents and Artificial Intelligence, Mar 2014, LOIRE, France. SCITEPRESS Digital Library, ICAART 2014 6th International Conference on Agents and Artificial Intelligence, 1, pp.312-319, 2014, ICAART 2014 6th International Conference on Agents and Artificial Intelligence. 〈http://www.icaart.org/?y=2014〉. 〈10.5220/0004756903120319〉. 〈hal-01115950〉

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